Senior Data Engineer

Barclays Corporate Banking; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Barclays Corporate Banking in Pune is seeking a Senior Data Engineer to build and maintain data pipelines, data warehouses and data lakes, ensuring data accuracy, accessibility and security. You will translate business requirements into scalable data solutions and collaborate with data scientists to deploy ML models.

The role requires strong Python skills, Databricks experience and AWS development know-how.

Qualifications

• Experience with Databricks for data engineering and platform implementation.
• Proficient in Python for scalable data solutions including testing and maintenance.
• Experience with AWS services (Lambda, Glue, Redshift, etc.).

Responsibilities

• Build and maintain data architectures and pipelines for data transfer and processing.
• Design data warehouses and data lakes with appropriate security measures.
• Develop processing and analysis algorithms for large data volumes.
• Collaborate with data scientists to deploy machine learning models.

Skills

Databricks data engineering

Python programming

AWS development

Communication

Tools

Lambda

Glue

Step Functions

IAM roles

Lake formation

EventBridge

SQS

EC2

CloudFormation

RDS

DynamoDB

Redshift

Git/GitLab

JSON

Iceberg

Avro

Kafka

MSK

Kinesis

Glue Streaming

Job description

Job Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join us as a Senior Data Engineer. At Barclays, we don't just adapt to the future, we create it. As a Senior Data Engineer you will support the organisation, achieve its strategic objectives by the identification of business requirements and solutions that address business problems and opportunities.

To be a successful Senior Data Engineer you should have experience with:

• Experience with Databricks, including data engineering, analytics, and platform implementation.
• Ample programming skills in Python, with experience developing, testing, and maintaining scalable data solutions.
• Experience of AWS development including some of the following: Lambda, Glue, Step Functions, IAM roles, Lake formation, Event Bridge, SNS, SQS, EC2, Security Groups, CloudFormation, RDS, DynamoDB, Redshift.

Additional relevant skills given below are highly valued:

• Validated ability to design and develop enterprise level software solutions using tools and techniques such as Source Control, Build Tools, Gitlab.
• Demonstrable working knowledge on different file formats JSON, Iceberg, Avro.
• Knowledge of Streaming services is preferable (Kafka, MSK, Kinesis, Glue Streaming).
• Communication and Collaboration: Ability to communicate effectively with cross-functional teams and stakeholders. Documenting configurations, processes, and best.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Pune.

Requirements: